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Participating healthcare professionals will be granted access to the Healthcare AI Challenge that features late breaking AI solutions they can assess for effectiveness on specific medical tasks, such as providing medical imageinterpretation, in a simulated environment.
tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image. Francisco, et al, Emergency Radiology , April 26, 2024.
Professor of Clinical Ophthalmology at the University of Edinburgh and NeurEYE co-lead, Baljean Dhillon, said, The eye can tell us far more than we thought possible. This resource is commissioned by PublicHealth Scotland and hosted by the Edinburgh International Data Facility through EPCC at the University of Edinburgh.
By leveraging advanced algorithms, machine learning can identify trends and make connections that were previously unrecognizable, thereby enhancing clinical decision-making and patient care. This proactive approach enables early intervention, ultimately reducing the burden on healthcare systems and improving publichealth outcomes.
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